System and method for de-risking a pension fund
Abstract
A system for de-risking a pension fund, the system including: an input module for receiving asset class forecasts; a modeling module for modeling a plurality of portfolios based on the asset class forecasts to provide a de-risking framework; an asset mix module for receiving an asset mix for each of the model portfolios based on the de-risking framework; a database for storing data related to the asset class forecasts, the model portfolios, and asset mix; a processor configured to monitor the model portfolios for performance within the de-risking framework by: calculating an indicator of funded status volatility; comparing the indicator with a benchmark; and reporting the result. In particular, the indicator of funded status volatility is a liability tracking error and the benchmark is the liability tracking error of a conventional or standard pension portfolio.
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1. A method for de-risking a pension fund, the method comprising:
receiving asset class forecasts from an input module;
modeling a plurality of portfolios, via a modeling module, based on the asset class forecasts to determine a de-risking framework;
determining asset mix for each of the model portfolios based on the de-risking framework; and
periodically evaluating the model portfolios performance within the de-risking framework by, via a processor:
determining a funded status volatility measure for each model portfolio; and
comparing the funded status volatility measure of each model portfolio with a predetermined funded status volatility benchmark to determine whether each portfolio is within a target range; and
reporting results of the comparison.
2. A method according to claim 1 further comprising receiving historical data and back-testing the model portfolios against historical data via a back-testing module.
3. A method according to claim 1 wherein the plurality of portfolios comprises 10 or fewer portfolios.
4. A method according to claim 1 wherein the plurality of portfolios comprises 6 or fewer portfolios.
5. A method according to claim 1 wherein the plurality of portfolios comprises at least one portfolio for under-funded status and at least one portfolio for over-funded status.
6. A method according to claim 1 wherein the funded status volatility measure comprises a liability tracking error based on comparing the portfolio with a liability proxy.
7. A method according to claim 6 wherein the funded status volatility benchmark is the liability tracking error of a standard pension portfolio.
8. A method according to claim 1 wherein the de-risking framework comprises providing portfolios for a plurality of funded status levels.
9. A method according to claim 8 wherein the plurality of funded status levels comprise: 80%, 90%, 100% and 105% funded status.
10. A system for de-risking a pension fund, the system comprising:
an input module for receiving asset class forecasts;
a modeling module for modeling a plurality of portfolios based on the asset class forecasts to determine a de-risking framework;
an asset mix module for receiving an asset mix for each of the model portfolios based on the de-risking framework;
a database for storing data related to the asset class forecasts, the model portfolios, and asset mix;
a processor configured to periodically evaluate the model portfolios performance within the de-risking framework by:
determining a funded status volatility measure of each model portfolio;
comparing the funded status volatility measure of each module with a predetermined funded status volatility benchmark to determine whether each portfolio is within a target range; and
reporting results of the comparison.
11. A system according to claim 10 further comprising a back-testing module for receiving historical data and back-testing the model portfolios based on the historical data.
12. A system according to claim 10 wherein the plurality of portfolios comprises 10 or fewer portfolios.
13. A system according to claim 10 wherein the plurality of portfolios comprises 6 or fewer portfolios.
14. A system according to claim 10 wherein the plurality of portfolios comprises at least one portfolio for under-funded status and at least one portfolio for over-funded status.
15. A system according to claim 10 wherein the funded status volatility measure comprises a liability tracking error based on comparing the portfolio with a liability proxy.
16. A system according to claim 15 wherein the funded status volatility benchmark is the liability tracking error of a standard pension portfolio.
17. A system according to claim 10 wherein the de-risking framework comprises providing portfolios for a plurality of funded status levels.
18. A system according to claim 17 wherein the plurality of funded status levels comprise: 80%, 90%, 100% and 105% funded status.Cited by (0)
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